An EMD-based approach for atrial fibrillation classification using wavelets and convolutional neural network

Author:

Serhal HassanORCID,Abdallah NassibORCID,Marion Jean-Marie,Chauvet PierreORCID,Oueidat Mohamad,Humeau-Heurtier AnneORCID

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference36 articles.

1. Global epidemiology of atrial fibrillation: An increasing epidemic and public health challenge;Lippi;Int. J. Stroke,2019

2. Atrial fibrillation beat identification using the combination of modified frequency slice wavelet transform and convolutional neural networks;Xu;Hindawi, J. Healthcare Eng.,2018

3. Automated atrial fibrillation detection using a hybrid CNN-LSTM network on imbalanced ECG datasets;Petmezas;Biomed. Signal Process. Control 102194,2020

4. A Deep Learning Method to Detect Atrial Fibrillation Based on Continuous Wavelet Transform, Vol. 55;Wu,2019

5. Performance comparison of PF, WT and EMD algorithms in de-noising of ECG signal;Snekha;Int. J. Adv. Res. Comput. Commun. Eng.,2014

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